Building pipeline digital arrangement method

Abstract

The application relates to the field of building engineering digitization, in particular to a building pipeline digital arrangement method, which comprises the following steps: acquiring multiple types of pipeline models and an arrangement site coordinate system, selecting an anchor point in the arrangement site coordinate system, and associating the anchor point with the pipeline models. The position of an augmented reality device in the arrangement site coordinate system is acquired, the position information and collision information of the multiple types of pipeline models are determined, and the real-time pipeline model state in the augmented reality device is acquired. A construction path is generated according to the initial point set of the multiple types of pipeline models, the construction path is introduced into the augmented reality device, and a construction dynamic model is generated. In response to the similarity between a construction site image and the construction dynamic model meeting a preset value, construction records during building pipeline construction are acquired and uploaded to a project management platform. After the construction is completed, the construction data of the building pipeline construction is recorded, encrypted and packed, and then uploaded to the project management platform, so that the construction data can be conveniently referred to and checked subsequently.

Description

Technical Field

[0001] This invention relates to the field of digital technology in building engineering, and more specifically, to a method for digitally arranging building pipelines. Background Technology

[0002] In building electromechanical installation projects, the integrated layout of pipelines is a crucial aspect affecting construction efficiency, project quality, and subsequent operation and maintenance. Traditional pipeline construction guidance relies on two-dimensional drawings, requiring construction personnel to manually interpret the two-dimensional information and convert it into a three-dimensional on-site layout. This can easily lead to problems such as misaligned pipeline positions and non-compliant spacing due to misunderstandings of the drawings.

[0003] In existing technologies, BIM models have been introduced for pipeline layout design, but BIM models mostly remain at the design stage and lack real-time linkage with on-site construction, failing to provide dynamic guidance for on-site operations. When some augmented reality technologies are applied to the construction field, there are problems such as loading lag due to insufficient model lightweighting, low on-site positioning accuracy, and large deviations between information overlay and actual pipelines, making it difficult to effectively support the on-site guidance needs of the entire pipeline construction process. Summary of the Invention

[0004] This invention is made to solve the above-mentioned technical problems. Its purpose is to provide a digital layout method for building pipelines, which can use three-dimensional data modeling to design pipeline structures in advance, and use augmented reality equipment to acquire the structure of building pipelines in real time during construction, and calculate, update and detect construction accuracy in a timely manner, reduce pipeline collisions during construction, and further ensure the quality and efficiency of pipeline construction in building construction.

[0005] This invention provides a method for digitally arranging building pipelines, comprising: acquiring multiple types of pipeline models and a layout site coordinate system; selecting anchor points within the layout site coordinate system and associating the anchor points with the pipeline models; acquiring the position of an augmented reality device within the layout site coordinate system; determining the position information and collision information of the multiple types of pipeline models; acquiring the real-time pipeline model status within the augmented reality device; generating a construction path based on the initial point set of the multiple types of pipeline models; importing the construction path into the augmented reality device to generate a dynamic construction model; continuing construction in response to a similarity between the construction site image and the dynamic construction model meeting a preset value; acquiring construction records during the construction of the building pipelines and uploading them to a project management platform.

[0006] Preferably, the step of obtaining the position of the augmented reality device within the coordinate system of the layout site, determining the position information and collision information of the multi-type pipeline models, and obtaining the real-time pipeline model status within the augmented reality device includes: activating the augmented reality device, acquiring a site image, matching the site image with the anchor points, and determining the position information of the augmented reality device within the coordinate system of the layout site, wherein the position information includes installation coordinates and installation angle; calculating the pipeline model in the projection area displayed by the augmented reality device based on the position information; acquiring and marking collision information based on the pipeline model in the projection area; and adjusting the pipeline model in the projection area in response to changes in the position information of the multi-type pipeline models in the construction area acquired by the augmented reality device.

[0007] Preferably, the step of obtaining and marking collision information based on the pipeline model in the projection area includes: obtaining construction data of the pipeline model in the projection area, calculating the standard spacing between the multiple types of pipeline models; and, in response to a user selecting a pipeline model, displaying the construction data of the pipeline model and, according to the formula: Calculate the minimum spacing between the pipeline model and adjacent pipeline models; in response to the minimum spacing being greater than or equal to the standard spacing, mark the pipeline as compliant; in response to the minimum spacing being less than the standard spacing, mark the pipeline as colliding.

[0008] Preferably, the step of acquiring multiple types of pipeline models and a layout site coordinate system, selecting anchor points within the layout site coordinate system, and associating the anchor points with the pipeline models includes: establishing the multiple types of pipeline models according to construction drawings; converting the format of the multiple types of pipeline models; measuring feature points at the construction site and matching them with the multiple types of pipeline models; selecting at least three non-collinear feature points as anchor points, associating the anchor points with the pipeline models, and performing pre-collision detection.

[0009] Preferably, the root mean square error between the feature point and the multi-type pipeline model is less than 1.5 mm.

[0010] Preferably, the step of generating a construction path based on the initial point set of the multi-type pipeline model, importing the construction path into the augmented reality device, and generating a construction dynamic model includes: obtaining the starting point, ending point, and key nodes of the multi-type pipeline model as an initial point set, and optimizing the initial point set; generating a construction path based on the initial point set, superimposing the construction path with the layout site coordinate system; obtaining the changes in the construction path, and establishing a construction dynamic model.

[0011] Preferably, the step of continuing construction in response to the similarity between the construction site image and the construction dynamic model meeting a preset value includes: in response to the construction of the building pipeline reaching the key node, acquiring a construction site image of the key node; segmenting the construction site image to obtain the contour features of the construction site image; continuing construction in response to the similarity between the contour features of the construction site image and the contour features of the construction dynamic model meeting a preset value; and performing accuracy detection in response to the similarity between the contour features of the construction site image and the contour features of the construction dynamic model not meeting a preset value.

[0012] Preferably, the accuracy detection includes: acquiring three-dimensional point cloud data around the key node; aligning the three-dimensional point cloud data with the point cloud data of the multi-type pipeline model using a point cloud registration algorithm; and calculating the deviation value between the two; recording the detection result and continuing construction in response to the deviation value meeting the preset requirements; generating a deviation correction scheme in response to the deviation value not meeting the preset requirements; and repeatedly acquiring three-dimensional point cloud data around the key node for accuracy detection until the deviation value meets the preset requirements.

[0013] Preferably, the deviation value is calculated using the formula and The calculations are performed as follows: , and The center coordinates of the 3D point cloud data surrounding the key node. , and The center coordinates of the point cloud data for various pipeline models. This is the positional deviation value. This represents the attitude deviation value.

[0014] Preferably, the step of acquiring construction records during building pipeline construction and uploading them to the project management platform includes: acquiring construction records during building pipeline construction, the construction records including construction time, construction personnel information, construction steps, and detection results of key nodes; acquiring construction images during building pipeline construction to form a construction image library, and associating the construction image library and the construction records with the multi-type pipeline model; generating a construction progress report and calculating the construction completion rate; constructing a delivery model and uploading the delivery model to the project management platform.

[0015] Based on the above description and practice, the digital layout method for building pipelines described in this invention includes: acquiring multi-type pipeline models and a layout site coordinate system; selecting anchor points within the layout site coordinate system and associating the anchor points with the multi-type pipeline models; ensuring that the multi-type pipeline models can correspond one-to-one with the construction drawings within the layout site coordinate system; acquiring the position of the augmented reality device within the layout site coordinate system; determining the position information and collision information of the multi-type pipeline models; and acquiring the real-time pipeline model status within the augmented reality device; placing the augmented reality device within the construction site; acquiring the pipeline status within the site in real time; combining this with the position information and collision information of the multi-type pipeline models to form a real-time pipeline model, which is then displayed within the augmented reality device; generating a construction path based on the initial point set of the multi-type pipeline models; importing the construction path into the augmented reality device to generate a construction dynamic model; calculating a pre-calculated construction path at a certain time point based on the multi-type pipeline models and the layout site coordinate system; and using this construction path to generate a construction dynamic model, thus predicting the entire pipeline construction process; and continuing construction in response to the similarity between the construction site image and the construction dynamic model meeting a preset value. During pipeline construction, images of the construction site are acquired continuously and compared with the dynamic construction model. If the discrepancy is small, pipeline construction proceeds according to the preset plan and can continue. Construction records during building pipeline construction are acquired and uploaded to the project management platform. After construction is completed, all construction data for building pipelines are recorded, encrypted, packaged, and uploaded to the project management platform for future reference. Attached Figure Description

[0016] Figure 1 This is a flowchart of a digital layout method for building pipelines according to one embodiment of the present invention.

[0017] Figure 2 This is a flowchart of step S2 of the digital layout method for building pipelines in one embodiment of the present invention.

[0018] Figure 3 This is a flowchart of step S23 of the digital layout method for building pipelines in one embodiment of the present invention.

[0019] Figure 4 This is a flowchart of step S1 of the digital layout method for building pipelines in one embodiment of the present invention.

[0020] Figure 5 This is a flowchart of step S3 of the digital layout method for building pipelines in one embodiment of the present invention.

[0021] Figure 6 This is a flowchart of step S4 of the digital layout method for building pipelines in one embodiment of the present invention.

[0022] Figure 7 This is a flowchart of step S44 of the digital layout method for building pipelines in one embodiment of the present invention.

[0023] Figure 8 This is a flowchart of step S5 of the digital layout method for building pipelines in one embodiment of the present invention. Detailed Implementation

[0024] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0025] Furthermore, the accompanying drawings are merely illustrative diagrams of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. It should be noted that in this invention disclosure, the terms "comprising," "configured with," and "set in" are used to indicate an open-ended inclusion, meaning that additional elements / components / etc. may exist besides those listed; the terms "first," "second," etc., are used only as labels and are not intended to limit the number or order of objects; the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention.

[0026] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0027] This invention discloses a method for digitally arranging building pipelines. Please refer to [link / reference]. Figures 1 to 8This allows for the pre-design of pipeline structures using 3D data modeling, and the real-time acquisition of building pipeline structures during construction using augmented reality equipment. It also enables timely calculation and updating of construction accuracy, reducing pipeline collisions during construction and further ensuring the quality and efficiency of pipeline construction in building projects. Specifically, this includes: In some application scenarios, the specific methods for digital layout of building pipelines include: Step S1: Obtain the multi-type pipeline model and the layout site coordinate system, select anchor points in the layout site coordinate system, and associate the anchor points with the multi-type pipeline model.

[0028] In some application scenarios, based on the structural drawings of a building project, BIM models of drainage, electrical, HVAC, and fire protection pipelines (hereinafter referred to as multi-type pipeline models) are constructed using Revit software. Material parameters for each pipeline are defined according to the actual drawings. Anchor points are then selected based on the positions of the multi-type pipeline models within the site coordinate system, and these anchor points are associated with the multi-type pipeline models to further ensure that the multi-type pipeline models correspond one-to-one with the construction drawings within the site coordinate system.

[0029] Step S2: Obtain the position of the augmented reality device in the layout site coordinate system, determine the position information and collision information of multiple types of pipeline models, and obtain the real-time pipeline model status within the augmented reality device.

[0030] In some application scenarios, augmented reality devices are installed in actual construction areas to obtain the status of pipelines in the site in real time, and their positions are matched in the site coordinate system. The position information and collision information of various types of pipeline models are further calculated and refined, and then superimposed and displayed in the augmented reality device.

[0031] Step S3: Generate construction paths based on the initial point set of the multi-type pipeline models, import the construction paths into the augmented reality device, and generate a dynamic construction model.

[0032] In some application scenarios, the initial point set of each pipeline model in multiple types of pipeline models is obtained at a certain point in time during the entire construction process. The theoretical construction path under the corresponding state is calculated based on the point set. The corresponding theoretical construction path is imported into the augmented reality device to generate a construction dynamic model and complete the prediction of the entire pipeline construction process.

[0033] Step S4: In response to the similarity between the construction site image and the construction dynamic model meeting the preset value, construction continues.

[0034] In some application scenarios, augmented reality (AR) devices are used to acquire images of the construction site at critical points during pipeline construction. These images are then compared with a predicted dynamic construction model. If the error is small, pipeline construction can proceed according to the preset plan and can continue. If the error is large, construction needs to be stopped, and the location needs to be marked.

[0035] Step S5: Obtain the construction records during the construction of building pipelines and upload them to the project management platform.

[0036] In some application scenarios, after the construction is completed, all construction data of building pipelines are recorded, encrypted, packaged, and uploaded to the project management platform for easy reference and viewing later.

[0037] Furthermore, to ensure consistency between the multi-type pipeline models and the actual construction area, and to guarantee detection accuracy, step S2 specifically includes: Step S21: Activate the augmented reality device, acquire a site image, match the site image with anchor points, and determine the position information of the augmented reality device within the site coordinate system. The position information includes the installation coordinates and installation angle.

[0038] In some application scenarios, augmented reality devices are equipped with internal cameras that capture on-site images. The process prioritizes matching the site image with anchor points within the site's coordinate system. The camera scans the actual construction area, and based on this, it correlates the actual construction area with various pipeline models and the site's coordinate system. Using an anchor point feature recognition algorithm, it matches physical markers in the site image with an anchor point feature database to determine the device's position in the site's coordinate system, including the augmented reality device's installation coordinates and angle. This ensures that the error between the installation coordinates and the actual construction area is controlled within ±3mm.

[0039] Step S22: Calculate the pipeline model of the projection area displayed by the augmented reality device based on the location information.

[0040] In some application scenarios, based on the installation coordinates and installation angle of the augmented reality device in the layout site coordinate system, the projection algorithm is used to calculate the projection area of ​​multiple types of pipeline models on the display screen of the augmented reality device, and only the pipeline model data within the projection area is loaded, thereby reducing the computational load of the augmented reality device.

[0041] Furthermore, in some application scenarios, projection algorithms can be used to calculate and dynamically adjust the level of detail in the model based on the distance between the augmented reality device and the pipeline in the actual construction area. Specifically, when the distance between the augmented reality device and the pipeline is less than 5m, details such as valves and supports of the pipeline are displayed on the display screen of the augmented reality device; when the distance between the augmented reality device and the pipeline is greater than 10m, only the axis and diameter information of the pipeline are displayed on the display screen of the augmented reality device.

[0042] Step S23: Obtain and mark collision information based on the pipeline model of the projection area.

[0043] In some application scenarios, when the augmented reality (AR) device is located at a certain position, it extracts pipeline information within the current projection area. This pipeline information includes pipeline type, specifications, construction requirements, and pre-detected collision information. This information is overlaid onto the AR device's display screen as a semi-transparent floating window with highlighted annotations. The deviation between the pipeline position in the projection area on the display screen and the actual position of the pipeline on site is ensured to be no more than ±2mm. This further demonstrates the accuracy of the AR device's data collection within the actual construction area and guarantees the accuracy of subsequent pipeline data analysis. Simultaneously, when impending collision information is detected in the pipeline information, it is highlighted with flashing red light, and a magnified view of the collision location is provided.

[0044] In addition, the display screen of the augmented reality device can be touch screen-enabled. When the collision location is displayed in the overlay interface, users can zoom and rotate the view to view the collision details through gestures. The conflict solution can also be calculated based on the pre-generated construction dynamic model and displayed on the screen.

[0045] Step S24: In response to changes in the location information of the various types of pipeline models in the construction area obtained by the augmented reality device, adjust the pipeline model in the projection area.

[0046] In some application scenarios, as the augmented reality device moves or rotates in the construction area, its internal camera acquires on-site images of the construction area and displays them on the screen. The projection algorithm is then used to calculate the projection area on the screen, enabling real-time projection of the pipeline model in the projection area.

[0047] In addition, augmented reality devices can adjust the position of various types of pipeline models in the layout coordinate system in real time based on the acquired on-site images to ensure that the construction area is consistent with the area displayed on the augmented reality device.

[0048] Understandably, in order to ensure the accuracy of collision information detected by the augmented reality device in the pipeline model of the projection area, and to notify the user in a timely manner before a collision occurs, step S23 specifically includes: Step S231: Obtain the construction data of the pipeline model in the projection area and calculate the standard spacing between the various types of pipeline models.

[0049] In some application scenarios, when displaying pipeline models in the projection area within an augmented reality device, the standard spacing between adjacent pipeline models of various types is calculated in real time based on the coordinate system of the layout site. This facilitates subsequent confirmation of the accuracy of the spacing between pipeline models in the projection area.

[0050] Step S232: In response to the user selecting a pipeline model, display the construction data of the pipeline model, and according to the formula: Calculate the minimum spacing between the pipeline model and its adjacent pipeline models.

[0051] In some application scenarios, when a user selects a pipeline within the pipeline model of the projection area, the formula is used... Calculate the minimum distance between the selected pipeline and its adjacent pipelines. Wherein, For the selected number The center coordinates of the pipeline For the first The center coordinates of the adjacent pipelines.

[0052] Step S233: In response to the minimum spacing being greater than or equal to the standard spacing, mark the pipeline as compliant.

[0053] In some application scenarios, when the calculated minimum spacing is greater than or equal to the standard spacing, the selected pipeline will not collide with adjacent pipelines during construction, thus marking the pipeline as compliant.

[0054] Step S234: In response to the minimum spacing being less than the specified spacing, mark the pipeline collision.

[0055] In some application scenarios, the calculated minimum spacing is less than the standard spacing. In this case, the selected pipeline may collide with adjacent pipelines during construction, and the collision will be marked. This warning will be displayed on the screen to alert the user.

[0056] To further improve the accuracy of multi-type pipeline models and thus ensure the accuracy of subsequent collision detection, step S1 specifically includes: Step S11: Based on the construction drawings, establish multi-type pipeline models.

[0057] In some application scenarios, based on construction drawings and electromechanical pipeline design and construction specifications, Revit software is used to build multi-type pipeline models including water supply and drainage, electrical, HVAC, fire protection and other disciplines, and the material parameters of the pipelines are defined accordingly.

[0058] Step S12: Convert the format of the multi-type pipeline model.

[0059] In some application scenarios, lightweight processing is performed on multi-type pipeline models, converting them into the glTF format compatible with augmented reality systems, while retaining key pipeline parameter information, ensuring that the loading speed of multi-type pipeline models meets the real-time interaction requirements on site.

[0060] Step S13: Measure the feature points of the construction site and match them with the multi-type pipeline model.

[0061] In some application scenarios, feature points are selected based on the construction site, and the three-dimensional coordinates of the feature points in the layout site coordinate system are obtained. These coordinates are then matched and a mapping relationship is established in multiple types of pipeline models.

[0062] Furthermore, the mapping accuracy can be optimized through the iterative nearest point algorithm, making the root mean square error (RMSE) between feature points and multiple types of pipeline models, as well as between the two coordinate systems, less than 1.5 mm.

[0063] Step S14: Select at least 3 non-collinear feature points as anchor points, associate the anchor points with the pipeline model, and perform pre-collision detection.

[0064] In some application scenarios, to ensure measurement and calculation accuracy, at least three non-collinear feature points are selected as anchor points for the augmented reality device. Images of the anchor points are acquired, local image features are extracted, and an anchor point feature database is constructed. Simultaneously, physical markers with high-contrast patterns are affixed to the anchor point locations for real-time identification and positioning of the augmented reality device. The anchor points are then associated with pipeline models, and the coordinates of various types of pipeline models within the site's coordinate system are calculated.

[0065] In order to predict the construction process and monitor and adjust the entire construction process, step S3 specifically includes: Step S31: Obtain the starting point, ending point, and key nodes of the multi-type pipeline model as the initial point set, and optimize the initial point set.

[0066] In some application scenarios, based on the layout scheme of multiple types of pipeline models and on-site construction conditions, the starting point, ending point and key nodes along the route of each individual pipeline are extracted to construct an initial point set for the pipeline construction path, and a path planning algorithm is used to optimize the initial point set.

[0067] Step S32: Generate a construction path based on the initial point set, and overlay the construction path with the coordinate system of the layout site.

[0068] In some application scenarios, the optimal construction path is generated by setting constraints based on the objective functions of minimizing construction path length, interference with existing structures, and maximizing construction operation space. The construction path is then imported into augmented reality equipment and overlaid onto real-time on-site images, with the construction sequence and key node requirements marked on the path.

[0069] Step S33: Obtain changes in the construction path and establish a construction dynamic model.

[0070] In some application scenarios, the pose transformation of augmented reality devices enables dynamic tracking of construction paths. When the user moves the device, the augmented reality device adjusts the overlay position of the path in real time to ensure that the path is always aligned with the site space, and dynamically displays detailed information on the path based on the distance between the user and the path.

[0071] Furthermore, to improve the accuracy of the entire construction path and avoid the accumulation of multiple minor errors leading to large construction precision errors at key nodes, which would affect the entire building pipeline construction, step S4 specifically includes: Step S41: In response to the construction of building pipelines reaching a critical node, acquire on-site images of the critical node.

[0072] In some application scenarios, when building pipelines are being constructed to a critical node, augmented reality devices automatically capture on-site images of that node.

[0073] Step S42: Segment the construction site image and obtain the contour features of the construction site image.

[0074] In some application scenarios, the contour features of pipeline nodes are extracted by image segmentation algorithms and compared with the standard contours of corresponding nodes in multiple types of pipeline models to confirm whether there are significant errors in the construction of building pipelines.

[0075] Step S43: In response to the fact that the similarity between the contour features of the construction site image and the contour features of the construction dynamic model meets the preset value, continue construction.

[0076] In some application scenarios, the similarity of contour features can meet the preset value of 90%. That is to say, if the contour features of the construction site image are more than or equal to 90% similar to the contour features of the construction dynamic model, it proves that no major errors have occurred during construction and construction can continue.

[0077] Step S44: In response to the fact that the similarity between the contour features of the construction site image and the contour features of the construction dynamic model does not meet the preset value, an accuracy test is performed.

[0078] In some application scenarios, if the similarity between the contour features of the construction site image and the contour features of the construction dynamic model is less than 90%, then the construction of building pipelines has a large error and accuracy testing should be performed.

[0079] Specifically, the accuracy detection step S44 includes: Step S441: Obtain the 3D point cloud data around the key nodes, align the 3D point cloud data with the point cloud data of the multi-type pipeline model using the point cloud registration algorithm, and calculate the deviation value between the two.

[0080] In some application scenarios, augmented reality devices are equipped with depth sensors to collect 3D point cloud data around pipeline nodes. Point cloud registration algorithms are then used to align the on-site point cloud with the point clouds of various pipeline models, using the formula: and Calculate the deviation value. Among them, , and The center coordinates of the 3D point cloud data surrounding the key node. , and The center coordinates of the point cloud data for various pipeline models. This is the positional deviation value. This represents the attitude deviation value.

[0081] Step S442: In response to the deviation value meeting the preset requirements, record the test results and continue construction.

[0082] In some application scenarios, the preset requirements for the deviation value are as follows: and When the deviation value meets the preset requirements, the accuracy is deemed qualified, the test results are recorded, and construction continues.

[0083] Step S443: In response to the deviation value not meeting the preset requirements, a deviation correction scheme is generated.

[0084] In some application scenarios, if any deviation value fails to meet the preset requirements, and the deviation value exceeds the specification range, it is determined that the accuracy exceeds the standard, and the pipeline construction needs to be corrected. A deviation correction scheme is determined based on the construction images at this time and various pipeline models.

[0085] Step S444: Repeatedly acquire 3D point cloud data around the key nodes for accuracy detection until the deviation value meets the preset requirements.

[0086] In some application scenarios, after the deviation is corrected, the 3D point cloud data around the key nodes is acquired again for accuracy detection, the deviation value is calculated, and construction continues until the deviation value meets the preset requirements until the construction is completed.

[0087] To facilitate subsequent review and reference of construction information regarding building pipeline installations, step S5 specifically includes: Step S51: Obtain construction records during building pipeline construction. Construction records include construction time, construction personnel information, construction steps, and inspection results of key nodes.

[0088] In some application scenarios, augmented reality systems are used to record the entire pipeline construction process in real time. The construction records include construction time, construction personnel information, construction steps, and inspection results of key nodes. Based on the construction timeline, pipeline nodes corresponding to various types of pipeline models and construction images are associated.

[0089] Step S52: Obtain construction images during building pipeline construction, form a construction image library, and associate the construction image library and construction records with the type pipeline model.

[0090] In some application scenarios, augmented reality systems capture images and videos of key operations during construction, automatically marking the pipeline locations and construction stages corresponding to the captured content to form a construction image library. The image files are encrypted and stored using blockchain technology to ensure that the data is tamper-proof, while generating unique image identifiers that are associated with multiple types of pipeline models.

[0091] Step S53: Generate a construction progress report and calculate the construction completion rate.

[0092] In some application scenarios, construction progress reports are automatically generated based on construction record data and multi-type pipeline models. The reports include the construction completion rate of each professional pipeline, a list of incomplete procedures, and construction deviation statistics. The reports can be exported and displayed as visual charts in augmented reality devices.

[0093] Step S54: Build the delivery model and upload it to the project management platform.

[0094] In some application scenarios, a digital delivery model is constructed, integrating all data generated during construction into a unified model file. The model file adopts the IFC standard format to ensure compatibility across different software platforms. A completeness check is performed on the digital delivery model to verify whether it contains parameter information for all pipelines, whether construction records are complete, and whether image data is correctly associated with pipeline nodes. If missing data is found, the system automatically prompts the user to supplement and improve it, ensuring the completeness of the delivery model's information. The digital delivery model is uploaded to the project management platform, authorizing access for relevant participants such as the owner, designer, and operation and maintenance personnel. All parties can view the model and retrieve construction process data through augmented reality devices or computer terminals, providing accurate digital basis for subsequent pipeline operation and maintenance. Simultaneously, the system records model access logs to ensure data access traceability.

[0095] This invention provides a digital layout system for building pipelines, including an augmented reality (AR) device, a 3D model preprocessing module, a construction path module, a construction accuracy correction module, and a construction delivery module. The AR device is placed within the construction area and can acquire and analyze images of the construction area, displaying the results on a screen for user viewing and analysis. The 3D model preprocessing module is used to create and adjust the 3D model, process data, and interface the 3D model with a coordinate system. The construction path module generates a construction path based on the 3D model and information acquired by the AR device, and provides early warnings under specific circumstances. The construction accuracy correction module analyzes the construction accuracy based on the construction path and the 3D model, and corrects it accordingly, ensuring the safety and stability of pipeline construction. The construction delivery module packages and encrypts all image data acquired by the AR device throughout the entire building pipeline construction process, the 3D model of the pipeline, the generated construction path, and the accuracy confirmation and adjustment data, and uploads them to the project platform for delivery. This reflects the construction progress, prevents record tampering, and ensures data authenticity.

[0096] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for digitally arranging building pipelines, characterized in that, include: Obtain multi-type pipeline models and layout site coordinate system, select anchor points in the layout site coordinate system, and associate the anchor points with the multi-type pipeline models; The position of the augmented reality device in the coordinate system of the layout site is obtained, the position information and collision information of the multi-type pipeline models are determined, and the real-time pipeline model status in the augmented reality device is obtained. A construction path is generated based on the initial point set of the multi-type pipeline model, and the construction path is imported into the augmented reality device to generate a construction dynamic model. If the similarity between the construction site image and the construction dynamic model meets a preset value, construction continues; Obtain construction records during building pipeline construction and upload them to the project management platform.

2. The digital layout method for building pipelines as described in claim 1, characterized in that, The steps of obtaining the position of the augmented reality device within the coordinate system of the layout site, determining the position and collision information of the multi-type pipeline models, and obtaining the real-time pipeline model status within the augmented reality device include: The augmented reality device is activated to acquire a site image. The site image is then matched with the anchor point to determine the position information of the augmented reality device within the coordinate system of the site layout. The position information includes the installation coordinates and the installation angle. Calculate the pipeline model of the projection area displayed by the augmented reality device based on the location information; Collision information is obtained and marked based on the pipeline model of the projection area; In response to changes in the location information of the various types of pipeline models in the construction area obtained by the augmented reality device, the pipeline model in the projection area is adjusted.

3. The digital layout method for building pipelines as described in claim 2, characterized in that, The step of obtaining and marking collision information based on the pipeline model in the projection area includes: Obtain the construction data of the pipeline model in the projection area, and calculate the standard spacing between the various types of pipeline models; In response to the user selecting a pipeline model, the construction data of the pipeline model is displayed, and the data is calculated according to the formula: Calculate the minimum spacing between the pipeline model and its adjacent pipeline models; In response to the minimum spacing being greater than or equal to the standard spacing, the pipeline is marked as compliant; In response to the minimum spacing being less than the standard spacing, a pipeline collision is marked.

4. The digital layout method for building pipelines as described in claim 1, characterized in that, The process of acquiring multiple types of pipeline models and a site coordinate system, selecting anchor points within the site coordinate system, and associating the anchor points with the pipeline models includes: Based on the construction drawings, establish models for the various types of pipelines; Convert the format of the multi-type pipeline model; Measure the characteristic points at the construction site and match them with the multi-type pipeline models; At least three non-collinear feature points are selected as anchor points, and the anchor points are associated with the pipeline model to perform pre-collision detection.

5. The digital layout method for building pipelines as described in claim 4, characterized in that, The root mean square error between the feature point and the multi-type pipeline model is less than 1.5 mm.

6. The digital layout method for building pipelines as described in claim 1, characterized in that, The step of generating a construction path based on the initial point set of the multi-type pipeline model, importing the construction path into the augmented reality device, and generating a construction dynamic model includes: The starting point, ending point, and key nodes of the multi-type pipeline model are obtained as the initial point set, and the initial point set is optimized. A construction path is generated based on the initial point set, and the construction path is superimposed on the coordinate system of the layout site. The changes in the construction path are obtained, and a construction dynamic model is established.

7. The digital layout method for building pipelines as described in claim 6, characterized in that, The step of continuing construction in response to a preset value being met by the similarity between the construction site image and the construction dynamic model includes: In response to the construction of the building pipeline reaching the critical node, images of the construction site at the critical node are acquired; Segment the construction site image to obtain its contour features; If the similarity between the contour features of the construction site image and the contour features of the construction dynamic model meets a preset value, construction continues. If the similarity between the contour features of the construction site image and the contour features of the construction dynamic model does not meet a preset value, an accuracy test is performed.

8. The digital layout method for building pipelines as described in claim 7, characterized in that, The accuracy detection includes: Acquire the three-dimensional point cloud data around the key node, align the three-dimensional point cloud data with the point cloud data of the multi-type pipeline model using a point cloud registration algorithm, and calculate the deviation value between the two. If the deviation value meets the preset requirements, the test results are recorded and construction continues; In response to the deviation value not meeting the preset requirements, a deviation correction scheme is generated; Repeatedly acquire 3D point cloud data around the key node for accuracy detection until the deviation value meets the preset requirements.

9. The digital layout method for building pipelines as described in claim 8, characterized in that, The deviation value is calculated using the formula. and Calculations are performed, in which, , and The center coordinates of the 3D point cloud data surrounding the key node. , and The center coordinates of the point cloud data for various pipeline models. This is the positional deviation value. This represents the attitude deviation value.

10. The method for digitally arranging building pipelines as described in claim 6, characterized in that, The process of obtaining construction records during building pipeline construction and uploading them to the project management platform includes: Obtain construction records during building pipeline construction, including construction time, construction personnel information, construction steps, and inspection results of key nodes; Acquire construction images during building pipeline construction to form a construction image library, and associate the construction image library and the construction records with the multi-type pipeline model; Generate construction progress reports and calculate construction completion rate; Build a delivery model and upload it to the project management platform.

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